README.md

metadata

dataset_info:
  features:
    - name: index
      dtype: int64
    - name: video_index
      dtype: string
    - name: question
      dtype: string
    - name: answer
      dtype: string
    - name: eval_method
      dtype: string
    - name: option
      sequence: string
    - name: task_type
      dtype: string
    - name: task
      dtype: string
    - name: duration
      dtype: float64
    - name: meta
      struct:
        - name: fps
          dtype: float64
        - name: frame_count
          dtype: int64
  splits:
    - name: train
      num_bytes: 500262
      num_examples: 2000
  download_size: 167816
  dataset_size: 500262
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - video-text-to-text

This dataset is from the paper MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios.

See https://github.com/FrankYang-17/MME-VideoOCR for more information.

License

Our MME-VideoOCR is released as CC-BY-NC4.0. The video samples are collected from a publicly available resource.

Note

MME-VideoOCR is only used for academic research. Commercial use in any form is prohibited. The copyright of all videos belongs to the video owners. If there is any infringement in MME-VideoOCR, please email [email protected] and we will remove it immediately. Without prior approval, you cannot distribute, publish, copy, disseminate, or modify MME-VideoOCR in whole or in part.

You must strictly comply with the above restrictions.